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Results of the ArcFUEL
methodology achieved in
Southern Spain
ArcFUEL Final Workshop, 18/12/2013, Thessaloniki
“Forest Fires: Fuel mapping in the Mediterranean countries”
Ana Sebastián López
GMV - Isaac Newton, 11; P.T.M. Tres Cantos, E-28760 Madrid
Tel.: +34 91 807 21 00, Email: asebastian@gmv.com
ArcFUEL Final Workshop “Forest Fires: Fuel mapping in the Mediterranean countries”
18 December 2013, Aristotle University Research Dissemination Center, Thessaloniki, Greece

1
GLOBAL SOLUTIONS FOR THE SPACE MARKET

GMV INNOVATING
SOLUTIONS
GENERAL ABOUT GMV
 Multinational conglomerate
founded in 1984
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 Over 1,000 employees all
over the world
 Roots tied to the Space and
Defense industries
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ArcFUEL Final Workshop “Forest Fires: Fuel mapping in the Mediterranean countries”
GMV IN THE WORLD
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holding company.
 Customers in 5 continents
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SPAIN

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PORTUGAL



USA

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GERMANY

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FRANCE

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POLAND

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ROMANIA

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

INDIA

ArcFUEL Final Workshop “Forest Fires: Fuel mapping in the Mediterranean countries”
INDUSTRIES
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Aeronautics
Space
Defense
Security
Healthcare
Transportation
Telecommunications
Public Sector and Corporate
ICT

ArcFUEL Final Workshop “Forest Fires: Fuel mapping in the Mediterranean countries”
GMV IN THE SPACE SECTOR
SATELLITE GROUND SEGMENT SYSTEMS
#1 Worldwide as independent Satellite Control Centre provider to
commercial telecom operators
 +230 Satellite missions worldwide have used GMV technology
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QUALITY:
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CMMI Level 5

ArcFUEL Final Workshop “Forest Fires: Fuel mapping in the Mediterranean countries”
Results of the ArcFUEL
methodology achieved
in Southern Spain
Study area
Data inputs
Methods
Validation
Discussion
ArcFUEL Final Workshop “Forest Fires: Fuel mapping in the Mediterranean countries”
18 December 2013, Aristotle University Research Dissemination Center, Thessaloniki, Greece

7
STUDY AREA
SIERRA DE LAS NIEVES
 Biosphere Reserve & Natural
Biosphere Reserve & Natural
Park
Park
 Western area of Málaga,
Western area of Málaga,
Andalusia
Andalusia
 Highest elevation peak at
Highest elevation peak at
1919 m
1919 m
 AOI covering 20.163 ha
AOI covering 20.163 ha

ArcFUEL Final Workshop “Forest Fires: Fuel mapping in the Mediterranean countries”

8
STUDY AREA
SIERRA DE LAS NIEVES
 Limestone mountains with rugged relief
 Spanish fir forests in cool, moist shady areas (botanical
relic of the glacial period on the Iberian Peninsula)
 Holm oak and cork trees in lower areas, along with some
areas of carob and chestnut trees.

ArcFUEL Final Workshop “Forest Fires: Fuel mapping in the Mediterranean countries”
DATA INPUTS







ASTER GDEM
Landsat TM5
Corine Land Cover
JRC Forest Types and Cover Types
Local Land cover & Vegetation data
ArcFUEL Final Workshop “Forest Fires: Fuel mapping in the Mediterranean countries”

10
METHODS
A-FUEL TYPE CLASSIFICATION
1. IMAGE PRE-PROCESSING
 DEM processing
 Atmospheric correction

1. VEGETATION INDICES COMPUTATION
2. CLASSIFICATION

B-FUEL PARAMETERS MATCHING

ArcFUEL Final Workshop “Forest Fires: Fuel mapping in the Mediterranean countries”

11
Main classes
Main classes

A-FUEL TYPE
CLASSIFICATION

Datasetsource
Dataset source

Broadleaved
Broadleaved

JRC Forest type 2006
JRC Forest type 2006

Coniferous
Coniferous

JRC Forest type 2006
JRC Forest type 2006

Grasses&& Shrubs
Grasses Shrubs
(Surface fuels)
(Surface fuels)

EO
EO

The remaining area after the other main classes areare mapped
The remaining area after the other main classes mapped

Ground fuels
Ground fuels Corine Land Cover Cover
Corine Land

PeatPeat bogs
bogs

marshes
Salt Salt marshes
Salines
Salines
Azonic fuels
Azonic fuels

Corine Land Cover Cover
Corine Land

Interdidal flats flats
Interdidal
Inland marshes
Inland marshes
Water courses
Water courses
Discontinuous urban
Discontinuous urban fabricfabric
Green urban
Green urban areasareas
Non-irrigated arable land land
Non-irrigated arable

EO
EO

Permanently irrigated
Permanently irrigated land land
Non w ildland fuels
Non w ildland fuels Corine Land Cover Cover
Corine Land

Vineyards
Vineyards
Fruit trees and and berry plantations
Fruit trees berry plantations

Olive groves
Olive groves
Annual crops associated w ith
Annual crops associated w ith permanent crops
permanent crops
Complex cultivation patterns
Complex cultivation patterns
Sport leisure facilities
Sport and and leisure facilities
No fuels
No fuels

Corine Land Cover Cover
Corine Land

Agroforestry Corine Land Cover Cover
Corine Land
Agroforestry

No
No fuelsfuels
Agroforestry
Agroforestry

ArcFUEL Final Workshop “Forest Fires: Fuel mapping in the Mediterranean countries”

12
METHODS
A-FUEL TYPE –ORIENTED VEGETATION
CLASSIFICATION
1-Image pre-processing
1. Mosaic 1ºx1º ASTER GDEM files
 New Raster tool of Arcgis 9.3

1. Re-project to UTM WGS84 zone 30 North
2. Merge Landsat TM scenes into a single stack
 ENVI “Layer Stacking tool”

1. Generate DEM-derived products
 Slope and Aspect (ENVI)
 Skyview and Shadow raster (ATCOR)

1. Perform ATMOSPHERIC CORRECTION
2. Perform Landsat mosaic and clip AOI
ArcFUEL Final Workshop “Forest Fires: Fuel mapping in the Mediterranean countries”

13
ASTER Mosaicking
Atmospheric correction

14

ArcFUEL Final Workshop “Forest Fires: Fuel mapping in the Mediterranean countries”
METHODS
A-FUEL TYPE –ORIENTED
VEGETATION CLASSIFICATION
2- Vegetation indices computation
1. NDVI is calculated for each Landsat-5 TM scene
 2nd Feb. & 5th May 2011

1. Image subtraction: [NDVI

-NDVIwinter ]

summer

3.Image masking: using the land cover classes
“Broadleaved”, “Coniferous” and “Mixed Forest”
4.Image masking: using the land cover classes
“Shrubs and grasslands”.

ArcFUEL Final Workshop “Forest Fires: Fuel mapping in the Mediterranean countries”

15
METHODS
A - FUEL TYPE
CLASSIFICATION
3- Image
classification
ISODATA Unsupervised
classification over the
difference image
Masking:
 “Broadleaved”, “Coniferous” &
“Mixed Forest”
 “Shrubs and grasslands”.

[NDVI summer-NDVIwinter ]
ArcFUEL Final Workshop “Forest Fires: Fuel mapping in the Mediterranean countries”

16
METHODS
A - FUEL TYPE CLASSIFICATION
3- Refinement
 Density cover (JRC cover types map)
 Merge of all the produced map layers in a single
layer:

ArcFUEL Final Workshop “Forest Fires: Fuel mapping in the Mediterranean countries”

17
Fuel Class

ha

%

Broadleaved Evergreen Scrub

17,63

1,08

Broadleaved Evergreen Open

0,16

0,01

31,90

1,96

Broadleaved Deciduous Scrub

9,98

0,61

Broadleaved Deciduous Open

0,03

0,00

Broadleaved Deciduous Dense

22,52

1,39

Coniferous Evergreen Scrub
Coniferous Evergreen Open

55,58
5,57

3,42
0,34

Coniferous Evergreen Dense

340,51

20,95

Coniferous Deciduous Scrub
Coniferous Deciduous Open

7,31
0,49

0,45
0,03

Broadleaved Evergreen Dense

Coniferous Deciduous Dense
13,64
0,84
Mixed Evergreen Scrub
1,68
0,10
Mixed Evergreen Open
0,01
0,00
Mixed Evergreen Dense
2,11
0,13
Mixed Deciduous Scrub
0,27
0,02
Mixed Deciduous Open
0,00
0,00
Mixed Deciduous Dense
0,41
0,02
Shrubs
682,43 41,98
Grassess
94,64
5,82
Ground Fuels
0,00
0,00
Azonic Fuels
0,18
0,01
Non Wildland Fuels
279,29
17,18
Non Fuel
57,25
3,52
ArcFUEL Final Workshop “Forest Fires: Fuel mapping in the Mediterranean countries”

18
VALIDATION
VALIDATION APPROACH
 GIS layers -based validation
VALIDATION PLAN:
1ST iteration  validating the discrimination between
deciduous and evergreen species. This was done
using the field plots from the National Forest Inventory.
2nd iteration  validating the discrimination of
vegetation assemblages. This was done using the
information on vegetation assemblages contained in
SIOSE (1:10.000) and the Vegetation Map of Andalusia
(1:10.000).

ArcFUEL Final Workshop “Forest Fires: Fuel mapping in the Mediterranean countries”

19
VALIDATION
1ST iteration
 Deciduous
VS
Evergreen.
 3rd National
Forest
Inventory
 Training area
 Plots every
1kmx1km
 Total of 163
IFN3 plots

ArcFUEL Final Workshop “Forest Fires: Fuel mapping in the Mediterranean countries”

20
VALIDATION
1ST iteration  Deciduous VS Evergreen spp.
 3rd National Forest Inventory
 Training area
 Plots every 1kmx1km
 Total of 163 IFN3 plots

ArcFUEL Final Workshop “Forest Fires: Fuel mapping in the Mediterranean countries”

21
VALIDATION
1ST iteration
 Shrubs VS
Grasslands
 3rd National
Forest
Inventory
 Training area
 Plots every
1kmx1km
 Total of 163
IFN3 plots

ArcFUEL Final Workshop “Forest Fires: Fuel mapping in the Mediterranean countries”

22
VALIDATION
2nd iteration  SOURCES:
i) The LUCAS (Land Use / Cover Area Frame Statistical
Survey) dataset (2009 campaign)
 Multipurpose field survey that estimates the area occupied
by different LULC types on the basis of observations taken
at more than 250.000 sample points throughout the EU.

ii) The Integrated product (1:10.000, 2005)
 “SIOSE” (LULC map of Spain) +
 “Vegetation map of Andalucía”

iii) Aerial orthophotos 2008

ArcFUEL Final Workshop “Forest Fires: Fuel mapping in the Mediterranean countries”

23
VALIDATION
2nd iteration 

The Integrated product (1:10.000)
“SIOSE” plus “Vegetation map of Andalucía” (2005)

ArcFUEL Final Workshop “Forest Fires: Fuel mapping in the Mediterranean countries”

24
VALIDATION
2nd iteration
A) Selection of valid plots The following
LUCAS plots were eliminated



Plots close to 2 or more Arcfuel classes border
Plots showing incoherence  examined individually
When LUCAS differed from the SIOSE, priority was given to the latter
(higher detail).

B) Validation
1. Over the sub-sample of valid LUCAS plots
2. For each valid plot the information among the different
sources was compared, and correctly classified plots and
errors were labeled accordingly.
3. Basic statistics were derived per ArcFuel fuel type class
ArcFUEL Final Workshop “Forest Fires: Fuel mapping in the Mediterranean countries”

25
LUCAS  ArcFUEL
LC1
A11
A13
A21
A22
B11
B12
B13
B14
B15
B16
B23
B31
B34
B37
B41
B42
B43
B74
B75
B76
B77
B81
B82
C10
C20
C30
D10
D20
E10
E20
E30
F00

LUCAS LEGEND (LC1)
Buildings with 1 to 3 floors
Greenhouses
Non built up area features
Non built up linear features
Common wheat
Durum wheat
Barley
Rye
Oats
Maize
Other root crops
Sunflower
Cotton
Other non permanent industrial crops
Dry pulses
Tomatoes
Other fresh vegetables
Nuts trees
Other fruit trees and berries
Oranges
Other citrus fruit
Olive groves
Vineyards
Broadleaved forest
Coniferous forest
Mixed forest
Shurbland with sparse tree cover
Shurbland without tree cover
Grassland with sparse tree/shrub cover
Grassland without tree/shrub cover
Spontaneously vegetated surfaces
Bare land

ARCF
ID
1
2

ARCFUEL FUEL TYPES
Broadleaved Evergreen Scrub
Broadleaved Evergreen Open

3

Broadleaved Evergreen Dense

4

Broadleaved Deciduous Scrub

5

Broadleaved Deciduous Open

6

Broadleaved Deciduous Dense

7
8

Coniferous Evergreen Scrub
Coniferous Evergreen Open

9

Coniferous Evergreen Dense

10

Mixed Evergreen Scrub

OK

C10

D10

E10

OK

OK-

OK

C10

D10

E10

OK

OK

OK

C10

D10

B74

OK

OK-

OK

C10

E10

B74

OK

OK

C10

B74

OK

OK

C20

D10

OK

OK-

OK

C20

D10

E10

OK
C10

OK

Coniferous Deciduous Dense

13

OK-

Coniferous Deciduous Open

12

OK

Coniferous Deciduous Scrub

11

LUCAS CLASSES

14

Mixed Evergreen Open

15

Mixed Evergreen Dense

16

Mixed Deciduous Scrub

C20

OK

OK

C30

D10

OK

OK-

OK

C30

D10

E10

OK
C30
OK

OK

C30

D10

ArcFUEL Final Workshop “Forest Fires: Fuel mapping in the Mediterranean countries”

26
VALIDATION
2nd iteration steps
1. Selection of valid plots

ArcFUEL Final Workshop “Forest Fires: Fuel mapping in the Mediterranean countries”

27
VALIDATION
2nd iteration 
 Entire AOI (Córdoba and Málaga)
 SIOSE & Vegetation map integrated
product: 2005
 CORINE Land cover: 2006
 JRC Forest Types: 2006
 LUCAS: 2009
 Arcfuel classification based on
Landsat TM scenes: 2011

Correct

Classific

%

classifi

errors

corre
ct

Broadleaves

0

1

0%

Deciduous Scrub
Broadleaves

4

0

100

Evergreen
Dense
Coniferous

%
0

2

0%

25

1

96%

8
98

4
11

67%
90%

Deciduous
Dense
Coniferous
Evergreen



Of the 1442 LUCAS plots
 1198 were identified as “non-pure”
plots and thus were eliminated by
using a the 50m radius criterion.
 73 plots were eliminated on a oneby-one basis.

Dense
Grasses
Shrubs



Remaining 171 valid plots:
 136 of them were correctly
classified (80%)
 35 were errors (20%).

ArcFUEL Final Workshop “Forest Fires: Fuel mapping in the Mediterranean countries”

28
ARCFUEL FUEL TYPE SCHEME

Vegetation description

ECOREGIONS

0

Ground fuels

Ground fuels

ALL

1

Mediterranean grasslands and steppes

Grasses

10,11,12,13,14
,15

2

Northern, Alpine and Temperate
grasslands

Grasses

1,2,3,4,5,6,7,8,
9

3

Deciduous broadleaved shrubs

Shrubs Deciduous

ALL

4

Evergreen Mediterranean shrublands

Shrubs Evergreen Medium &
Dense

10,11,12,13,14
,15

5

Northern, Alpine and Temperate low
shrubs

Shrubs Evergreen Medium &
Dense

6

Open Mediterranean shrublands

Shrubs Evergreen Open (Scrub)

7

Alpine and Northern conifer scrublands

Shrubs Evergreen Open (Scrub)

8

Thermophilous broadleaved scrublands

Broadleaved Deciduous Scrub

1,2,3,4,5,6,7,8,
9
10,11,12,13,14
,15
1,2,3,4,5.6,7,8,
9
10,11,12,13,14
,15

9

Northern broadleaved forests scrublands

Broadleaved Deciduous Scrub

10

Deciduous Broadleaved scrublands

Broadleaved Deciduous Scrub

6,7,8,9

Broadleaved Evergreen Scrub

ALL

Coniferous Evergreen Scrub

11,12,15

Coniferous Evergreen Scrub

10,13,14

11
12

Mediterranean sclerophylous forests
scrubland
Mediterranean montane conifer
scrublands

1,2,3

13

Mediterranean conifers scrublands

14

Northern, Alpine and Temperate Final Workshop “Forest Fires: Fuel mapping in
ArcFUEL
Coniferous Evergreen Scrub
2,3,6,7,8,9
shrublands

JRC FUEL TYPE SCHEME
Peat bogs

Group
Ground

FT
No
1

Wooded peatbogs
2
Mediterranean grasslands and
steppes/Pastures/Sparse
3,4,5
grasslands
Grasses
Temperate, Alpine and Northern
grasslands//Pastures/Sparse
grasslands
6
Deciduous broadleaved
shrublands (thermophilous)
11
Mediterranean moors and
heathlands
7
Mediterranean shrublands
Shrubs
(sclerophylous)
10
Temperate, Alpine and Northern
moors and heathlands
8
Mediterranean open shrublands
(sclerophylous)
9
Shrublands in Alpine and
Northern conifer forests
19
Shrublands in thermophilous
broadleaved forests
16
Northern open shrublands in
broadleaved forests
18
Shrublands in beech and
mesophytic broadleaved forests
17
Shrublands in Mediterranean
Transitional
sclerophylous forests
14
Shrublands in Mediterranean
montane conifer forests
15
Shrublands in Mediterranean
conifer forests
13
29
Shrublands in Alpine and
the Mediterranean countries”
Northern conifer forests
19
DISCUSSION
This work assessed the performance of the ArcFuel
methodology, up to level 4, in the Spanish study area
Within the pilot area (Sierra de las Nieves) a first assessment
was performed, consisting of comparing Arcfuel classification
with the NFI dominant (tree, shrubs and grasses) species.
 The 96% of overall accuracy obtained for Deciduous/
Evergreen classification and the 87% of overall accuracy
obtained for the Shrubs/ Grassess classification are
deemed as very good results.
A second assessment was performed within the entire study
area at the points marked by the existence of a LUCAS plots.
 Approached considered (local sources) containing
information on the specific vegetation assemblages, much
closer to the concept of forest fuel types.

ArcFUEL Final Workshop “Forest Fires: Fuel mapping in the Mediterranean countries”

30
DISCUSSION
Inconsistencies were observed between LUCAS / SIOSE+Vegetation / EU layers
defining the first levels of Arcfuel classification
 It was decided to proceed with the validation only in those points where consistency
existed.
Results yielded an overall 80% of correctly classified plot which is a satisfactory
performance.
 The analysis per fuel type class showed particularly good results for the Shrubs
(90%) and Coniferous Evergreen Dense class (96%).
 The plots in the Broadleaves Evergreen Dense, and specifically those in deciduous
classes (incorrectly classified) were not enough in number to draw any conclusion.
Validation was considered very positive, but incomplete without the ffield work (later
performed by Meteogrid).

ArcFUEL Final Workshop “Forest Fires: Fuel mapping in the Mediterranean countries”

31
Thank you!!
Ana Sebastián
Senior Project Manager
Remote Sensing Applications and Services Division
asebastian@gmv.com
GMV
Isaac Newton, 11
P.T.M. Tres Cantos
E-28760 Madrid
Tel. +34 91 807 21 00
Fax +34 91 807 21 99
www.gmv.com

ArcFUEL Final Workshop “Forest Fires: Fuel mapping in the Mediterranean countries”

32

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Dr. ana sebastian (gmv sau) “results of the arc fuel methodology achieved in southern spain”

  • 1. Results of the ArcFUEL methodology achieved in Southern Spain ArcFUEL Final Workshop, 18/12/2013, Thessaloniki “Forest Fires: Fuel mapping in the Mediterranean countries” Ana Sebastián López GMV - Isaac Newton, 11; P.T.M. Tres Cantos, E-28760 Madrid Tel.: +34 91 807 21 00, Email: asebastian@gmv.com ArcFUEL Final Workshop “Forest Fires: Fuel mapping in the Mediterranean countries” 18 December 2013, Aristotle University Research Dissemination Center, Thessaloniki, Greece 1
  • 2. GLOBAL SOLUTIONS FOR THE SPACE MARKET GMV INNOVATING SOLUTIONS
  • 3. GENERAL ABOUT GMV  Multinational conglomerate founded in 1984  Private capital  Offices in Spain, Portugal, Poland, USA, Germany, Romania, France, Malaysia, and India  Over 1,000 employees all over the world  Roots tied to the Space and Defense industries  Currently operating in Aeronautics, Space, Defense, Security, Transportation, Healthcare and ICT industries. ArcFUEL Final Workshop “Forest Fires: Fuel mapping in the Mediterranean countries”
  • 4. GMV IN THE WORLD Conglomerate of 11 operating subsidiaries and a holding company.  Customers in 5 continents  Permanent staff in 10 countries   SPAIN MADRID – HEADQ. VALLADOLID SEVILLE BARCELONA VALENCIA CANARY ISLANDS LEON ZARAGOZA  PORTUGAL  USA  GERMANY  FRANCE  POLAND  ROMANIA  MALAYSIA  INDIA ArcFUEL Final Workshop “Forest Fires: Fuel mapping in the Mediterranean countries”
  • 5. INDUSTRIES         Aeronautics Space Defense Security Healthcare Transportation Telecommunications Public Sector and Corporate ICT ArcFUEL Final Workshop “Forest Fires: Fuel mapping in the Mediterranean countries”
  • 6. GMV IN THE SPACE SECTOR SATELLITE GROUND SEGMENT SYSTEMS #1 Worldwide as independent Satellite Control Centre provider to commercial telecom operators  +230 Satellite missions worldwide have used GMV technology  Main European supplier of critical GNSS ground components  #3 as Galileo system developer  CUSTOMERS: Space Agencies  Satellite Operators  Main manufacturers  QUALITY:  CMMI Level 5 ArcFUEL Final Workshop “Forest Fires: Fuel mapping in the Mediterranean countries”
  • 7. Results of the ArcFUEL methodology achieved in Southern Spain Study area Data inputs Methods Validation Discussion ArcFUEL Final Workshop “Forest Fires: Fuel mapping in the Mediterranean countries” 18 December 2013, Aristotle University Research Dissemination Center, Thessaloniki, Greece 7
  • 8. STUDY AREA SIERRA DE LAS NIEVES  Biosphere Reserve & Natural Biosphere Reserve & Natural Park Park  Western area of Málaga, Western area of Málaga, Andalusia Andalusia  Highest elevation peak at Highest elevation peak at 1919 m 1919 m  AOI covering 20.163 ha AOI covering 20.163 ha ArcFUEL Final Workshop “Forest Fires: Fuel mapping in the Mediterranean countries” 8
  • 9. STUDY AREA SIERRA DE LAS NIEVES  Limestone mountains with rugged relief  Spanish fir forests in cool, moist shady areas (botanical relic of the glacial period on the Iberian Peninsula)  Holm oak and cork trees in lower areas, along with some areas of carob and chestnut trees. ArcFUEL Final Workshop “Forest Fires: Fuel mapping in the Mediterranean countries”
  • 10. DATA INPUTS      ASTER GDEM Landsat TM5 Corine Land Cover JRC Forest Types and Cover Types Local Land cover & Vegetation data ArcFUEL Final Workshop “Forest Fires: Fuel mapping in the Mediterranean countries” 10
  • 11. METHODS A-FUEL TYPE CLASSIFICATION 1. IMAGE PRE-PROCESSING  DEM processing  Atmospheric correction 1. VEGETATION INDICES COMPUTATION 2. CLASSIFICATION B-FUEL PARAMETERS MATCHING ArcFUEL Final Workshop “Forest Fires: Fuel mapping in the Mediterranean countries” 11
  • 12. Main classes Main classes A-FUEL TYPE CLASSIFICATION Datasetsource Dataset source Broadleaved Broadleaved JRC Forest type 2006 JRC Forest type 2006 Coniferous Coniferous JRC Forest type 2006 JRC Forest type 2006 Grasses&& Shrubs Grasses Shrubs (Surface fuels) (Surface fuels) EO EO The remaining area after the other main classes areare mapped The remaining area after the other main classes mapped Ground fuels Ground fuels Corine Land Cover Cover Corine Land PeatPeat bogs bogs marshes Salt Salt marshes Salines Salines Azonic fuels Azonic fuels Corine Land Cover Cover Corine Land Interdidal flats flats Interdidal Inland marshes Inland marshes Water courses Water courses Discontinuous urban Discontinuous urban fabricfabric Green urban Green urban areasareas Non-irrigated arable land land Non-irrigated arable EO EO Permanently irrigated Permanently irrigated land land Non w ildland fuels Non w ildland fuels Corine Land Cover Cover Corine Land Vineyards Vineyards Fruit trees and and berry plantations Fruit trees berry plantations Olive groves Olive groves Annual crops associated w ith Annual crops associated w ith permanent crops permanent crops Complex cultivation patterns Complex cultivation patterns Sport leisure facilities Sport and and leisure facilities No fuels No fuels Corine Land Cover Cover Corine Land Agroforestry Corine Land Cover Cover Corine Land Agroforestry No No fuelsfuels Agroforestry Agroforestry ArcFUEL Final Workshop “Forest Fires: Fuel mapping in the Mediterranean countries” 12
  • 13. METHODS A-FUEL TYPE –ORIENTED VEGETATION CLASSIFICATION 1-Image pre-processing 1. Mosaic 1ºx1º ASTER GDEM files  New Raster tool of Arcgis 9.3 1. Re-project to UTM WGS84 zone 30 North 2. Merge Landsat TM scenes into a single stack  ENVI “Layer Stacking tool” 1. Generate DEM-derived products  Slope and Aspect (ENVI)  Skyview and Shadow raster (ATCOR) 1. Perform ATMOSPHERIC CORRECTION 2. Perform Landsat mosaic and clip AOI ArcFUEL Final Workshop “Forest Fires: Fuel mapping in the Mediterranean countries” 13
  • 14. ASTER Mosaicking Atmospheric correction 14 ArcFUEL Final Workshop “Forest Fires: Fuel mapping in the Mediterranean countries”
  • 15. METHODS A-FUEL TYPE –ORIENTED VEGETATION CLASSIFICATION 2- Vegetation indices computation 1. NDVI is calculated for each Landsat-5 TM scene  2nd Feb. & 5th May 2011 1. Image subtraction: [NDVI -NDVIwinter ] summer 3.Image masking: using the land cover classes “Broadleaved”, “Coniferous” and “Mixed Forest” 4.Image masking: using the land cover classes “Shrubs and grasslands”. ArcFUEL Final Workshop “Forest Fires: Fuel mapping in the Mediterranean countries” 15
  • 16. METHODS A - FUEL TYPE CLASSIFICATION 3- Image classification ISODATA Unsupervised classification over the difference image Masking:  “Broadleaved”, “Coniferous” & “Mixed Forest”  “Shrubs and grasslands”. [NDVI summer-NDVIwinter ] ArcFUEL Final Workshop “Forest Fires: Fuel mapping in the Mediterranean countries” 16
  • 17. METHODS A - FUEL TYPE CLASSIFICATION 3- Refinement  Density cover (JRC cover types map)  Merge of all the produced map layers in a single layer: ArcFUEL Final Workshop “Forest Fires: Fuel mapping in the Mediterranean countries” 17
  • 18. Fuel Class ha % Broadleaved Evergreen Scrub 17,63 1,08 Broadleaved Evergreen Open 0,16 0,01 31,90 1,96 Broadleaved Deciduous Scrub 9,98 0,61 Broadleaved Deciduous Open 0,03 0,00 Broadleaved Deciduous Dense 22,52 1,39 Coniferous Evergreen Scrub Coniferous Evergreen Open 55,58 5,57 3,42 0,34 Coniferous Evergreen Dense 340,51 20,95 Coniferous Deciduous Scrub Coniferous Deciduous Open 7,31 0,49 0,45 0,03 Broadleaved Evergreen Dense Coniferous Deciduous Dense 13,64 0,84 Mixed Evergreen Scrub 1,68 0,10 Mixed Evergreen Open 0,01 0,00 Mixed Evergreen Dense 2,11 0,13 Mixed Deciduous Scrub 0,27 0,02 Mixed Deciduous Open 0,00 0,00 Mixed Deciduous Dense 0,41 0,02 Shrubs 682,43 41,98 Grassess 94,64 5,82 Ground Fuels 0,00 0,00 Azonic Fuels 0,18 0,01 Non Wildland Fuels 279,29 17,18 Non Fuel 57,25 3,52 ArcFUEL Final Workshop “Forest Fires: Fuel mapping in the Mediterranean countries” 18
  • 19. VALIDATION VALIDATION APPROACH  GIS layers -based validation VALIDATION PLAN: 1ST iteration  validating the discrimination between deciduous and evergreen species. This was done using the field plots from the National Forest Inventory. 2nd iteration  validating the discrimination of vegetation assemblages. This was done using the information on vegetation assemblages contained in SIOSE (1:10.000) and the Vegetation Map of Andalusia (1:10.000). ArcFUEL Final Workshop “Forest Fires: Fuel mapping in the Mediterranean countries” 19
  • 20. VALIDATION 1ST iteration  Deciduous VS Evergreen.  3rd National Forest Inventory  Training area  Plots every 1kmx1km  Total of 163 IFN3 plots ArcFUEL Final Workshop “Forest Fires: Fuel mapping in the Mediterranean countries” 20
  • 21. VALIDATION 1ST iteration  Deciduous VS Evergreen spp.  3rd National Forest Inventory  Training area  Plots every 1kmx1km  Total of 163 IFN3 plots ArcFUEL Final Workshop “Forest Fires: Fuel mapping in the Mediterranean countries” 21
  • 22. VALIDATION 1ST iteration  Shrubs VS Grasslands  3rd National Forest Inventory  Training area  Plots every 1kmx1km  Total of 163 IFN3 plots ArcFUEL Final Workshop “Forest Fires: Fuel mapping in the Mediterranean countries” 22
  • 23. VALIDATION 2nd iteration  SOURCES: i) The LUCAS (Land Use / Cover Area Frame Statistical Survey) dataset (2009 campaign)  Multipurpose field survey that estimates the area occupied by different LULC types on the basis of observations taken at more than 250.000 sample points throughout the EU. ii) The Integrated product (1:10.000, 2005)  “SIOSE” (LULC map of Spain) +  “Vegetation map of Andalucía” iii) Aerial orthophotos 2008 ArcFUEL Final Workshop “Forest Fires: Fuel mapping in the Mediterranean countries” 23
  • 24. VALIDATION 2nd iteration  The Integrated product (1:10.000) “SIOSE” plus “Vegetation map of Andalucía” (2005) ArcFUEL Final Workshop “Forest Fires: Fuel mapping in the Mediterranean countries” 24
  • 25. VALIDATION 2nd iteration A) Selection of valid plots The following LUCAS plots were eliminated   Plots close to 2 or more Arcfuel classes border Plots showing incoherence  examined individually When LUCAS differed from the SIOSE, priority was given to the latter (higher detail). B) Validation 1. Over the sub-sample of valid LUCAS plots 2. For each valid plot the information among the different sources was compared, and correctly classified plots and errors were labeled accordingly. 3. Basic statistics were derived per ArcFuel fuel type class ArcFUEL Final Workshop “Forest Fires: Fuel mapping in the Mediterranean countries” 25
  • 26. LUCAS  ArcFUEL LC1 A11 A13 A21 A22 B11 B12 B13 B14 B15 B16 B23 B31 B34 B37 B41 B42 B43 B74 B75 B76 B77 B81 B82 C10 C20 C30 D10 D20 E10 E20 E30 F00 LUCAS LEGEND (LC1) Buildings with 1 to 3 floors Greenhouses Non built up area features Non built up linear features Common wheat Durum wheat Barley Rye Oats Maize Other root crops Sunflower Cotton Other non permanent industrial crops Dry pulses Tomatoes Other fresh vegetables Nuts trees Other fruit trees and berries Oranges Other citrus fruit Olive groves Vineyards Broadleaved forest Coniferous forest Mixed forest Shurbland with sparse tree cover Shurbland without tree cover Grassland with sparse tree/shrub cover Grassland without tree/shrub cover Spontaneously vegetated surfaces Bare land ARCF ID 1 2 ARCFUEL FUEL TYPES Broadleaved Evergreen Scrub Broadleaved Evergreen Open 3 Broadleaved Evergreen Dense 4 Broadleaved Deciduous Scrub 5 Broadleaved Deciduous Open 6 Broadleaved Deciduous Dense 7 8 Coniferous Evergreen Scrub Coniferous Evergreen Open 9 Coniferous Evergreen Dense 10 Mixed Evergreen Scrub OK C10 D10 E10 OK OK- OK C10 D10 E10 OK OK OK C10 D10 B74 OK OK- OK C10 E10 B74 OK OK C10 B74 OK OK C20 D10 OK OK- OK C20 D10 E10 OK C10 OK Coniferous Deciduous Dense 13 OK- Coniferous Deciduous Open 12 OK Coniferous Deciduous Scrub 11 LUCAS CLASSES 14 Mixed Evergreen Open 15 Mixed Evergreen Dense 16 Mixed Deciduous Scrub C20 OK OK C30 D10 OK OK- OK C30 D10 E10 OK C30 OK OK C30 D10 ArcFUEL Final Workshop “Forest Fires: Fuel mapping in the Mediterranean countries” 26
  • 27. VALIDATION 2nd iteration steps 1. Selection of valid plots ArcFUEL Final Workshop “Forest Fires: Fuel mapping in the Mediterranean countries” 27
  • 28. VALIDATION 2nd iteration   Entire AOI (Córdoba and Málaga)  SIOSE & Vegetation map integrated product: 2005  CORINE Land cover: 2006  JRC Forest Types: 2006  LUCAS: 2009  Arcfuel classification based on Landsat TM scenes: 2011 Correct Classific % classifi errors corre ct Broadleaves 0 1 0% Deciduous Scrub Broadleaves 4 0 100 Evergreen Dense Coniferous % 0 2 0% 25 1 96% 8 98 4 11 67% 90% Deciduous Dense Coniferous Evergreen  Of the 1442 LUCAS plots  1198 were identified as “non-pure” plots and thus were eliminated by using a the 50m radius criterion.  73 plots were eliminated on a oneby-one basis. Dense Grasses Shrubs  Remaining 171 valid plots:  136 of them were correctly classified (80%)  35 were errors (20%). ArcFUEL Final Workshop “Forest Fires: Fuel mapping in the Mediterranean countries” 28
  • 29. ARCFUEL FUEL TYPE SCHEME Vegetation description ECOREGIONS 0 Ground fuels Ground fuels ALL 1 Mediterranean grasslands and steppes Grasses 10,11,12,13,14 ,15 2 Northern, Alpine and Temperate grasslands Grasses 1,2,3,4,5,6,7,8, 9 3 Deciduous broadleaved shrubs Shrubs Deciduous ALL 4 Evergreen Mediterranean shrublands Shrubs Evergreen Medium & Dense 10,11,12,13,14 ,15 5 Northern, Alpine and Temperate low shrubs Shrubs Evergreen Medium & Dense 6 Open Mediterranean shrublands Shrubs Evergreen Open (Scrub) 7 Alpine and Northern conifer scrublands Shrubs Evergreen Open (Scrub) 8 Thermophilous broadleaved scrublands Broadleaved Deciduous Scrub 1,2,3,4,5,6,7,8, 9 10,11,12,13,14 ,15 1,2,3,4,5.6,7,8, 9 10,11,12,13,14 ,15 9 Northern broadleaved forests scrublands Broadleaved Deciduous Scrub 10 Deciduous Broadleaved scrublands Broadleaved Deciduous Scrub 6,7,8,9 Broadleaved Evergreen Scrub ALL Coniferous Evergreen Scrub 11,12,15 Coniferous Evergreen Scrub 10,13,14 11 12 Mediterranean sclerophylous forests scrubland Mediterranean montane conifer scrublands 1,2,3 13 Mediterranean conifers scrublands 14 Northern, Alpine and Temperate Final Workshop “Forest Fires: Fuel mapping in ArcFUEL Coniferous Evergreen Scrub 2,3,6,7,8,9 shrublands JRC FUEL TYPE SCHEME Peat bogs Group Ground FT No 1 Wooded peatbogs 2 Mediterranean grasslands and steppes/Pastures/Sparse 3,4,5 grasslands Grasses Temperate, Alpine and Northern grasslands//Pastures/Sparse grasslands 6 Deciduous broadleaved shrublands (thermophilous) 11 Mediterranean moors and heathlands 7 Mediterranean shrublands Shrubs (sclerophylous) 10 Temperate, Alpine and Northern moors and heathlands 8 Mediterranean open shrublands (sclerophylous) 9 Shrublands in Alpine and Northern conifer forests 19 Shrublands in thermophilous broadleaved forests 16 Northern open shrublands in broadleaved forests 18 Shrublands in beech and mesophytic broadleaved forests 17 Shrublands in Mediterranean Transitional sclerophylous forests 14 Shrublands in Mediterranean montane conifer forests 15 Shrublands in Mediterranean conifer forests 13 29 Shrublands in Alpine and the Mediterranean countries” Northern conifer forests 19
  • 30. DISCUSSION This work assessed the performance of the ArcFuel methodology, up to level 4, in the Spanish study area Within the pilot area (Sierra de las Nieves) a first assessment was performed, consisting of comparing Arcfuel classification with the NFI dominant (tree, shrubs and grasses) species.  The 96% of overall accuracy obtained for Deciduous/ Evergreen classification and the 87% of overall accuracy obtained for the Shrubs/ Grassess classification are deemed as very good results. A second assessment was performed within the entire study area at the points marked by the existence of a LUCAS plots.  Approached considered (local sources) containing information on the specific vegetation assemblages, much closer to the concept of forest fuel types. ArcFUEL Final Workshop “Forest Fires: Fuel mapping in the Mediterranean countries” 30
  • 31. DISCUSSION Inconsistencies were observed between LUCAS / SIOSE+Vegetation / EU layers defining the first levels of Arcfuel classification  It was decided to proceed with the validation only in those points where consistency existed. Results yielded an overall 80% of correctly classified plot which is a satisfactory performance.  The analysis per fuel type class showed particularly good results for the Shrubs (90%) and Coniferous Evergreen Dense class (96%).  The plots in the Broadleaves Evergreen Dense, and specifically those in deciduous classes (incorrectly classified) were not enough in number to draw any conclusion. Validation was considered very positive, but incomplete without the ffield work (later performed by Meteogrid). ArcFUEL Final Workshop “Forest Fires: Fuel mapping in the Mediterranean countries” 31
  • 32. Thank you!! Ana Sebastián Senior Project Manager Remote Sensing Applications and Services Division asebastian@gmv.com GMV Isaac Newton, 11 P.T.M. Tres Cantos E-28760 Madrid Tel. +34 91 807 21 00 Fax +34 91 807 21 99 www.gmv.com ArcFUEL Final Workshop “Forest Fires: Fuel mapping in the Mediterranean countries” 32

Editor's Notes

  1. Arcfuel fuel types over the entire area of study in Spain. Table shows the area and the percentage of the different fuel classes found in the Spanish pilot area. The Table evidences the predominance of a few classes: Coniferous Evergreen Dense (21%) and above all, Shrubs (42%). The non-wildland fuels represent a 17% of the study area.
  2. Results are acceptable and particularely satisfactory when related to the discrimination of Evergreen forests. Conversely the discrimination of decidous trees in the classification was not always correct (33% commission error). Nonetheless as observed before the presence of Deciduos vegetation in the pilot area is minor (< 3%).
  3. Selection of valid plots The first step consisted of eliminating the LUCAS sample plots located close to the border between two Arcfuel classes - that is: plots having two or more Arcfuel classes within a circle of 50m radius (pixel size in the classification) centered in the plot. By deleting these “non-pure” plots we aimed at minimizing the impact of incoherencies among the information sources. The LUCAS plots that after this filtering still showed some kind of basic incoherence (eg. a plot that according to LUCAS is vineyards, whereas according to the JRC map is a conifer stand, or according to CLC a built up area) where examined one by one for confirmation and then incoherencies were marked also as non valid. When LUCAS differed from the SIOSE information, priority was given to the latter on account of its higher detail. Validation This process consisted of three steps: A sub-sample of valid LUCAS plots was created, which was free of basic incoherencies with layers used at the root of the fuel mapping process. For each valid plot the information among the three sources of information (Arcfuel classification, LUCAS, SIOSE+ Vegetation Map) was compared, and correctly classified plots and errors were labeled accordingly. Basic statistics were derived per ArcFuel fuel type class   To understand the validation results shown in the next Section it is important to recall that the different datasets handled do not have the same reference date: SIOSE & Vegetation map integrated product: 2005 CORINE Land cover: 2006 JRC Forest Types: LUCAS: 2009 Arcfuel classification based on Landsat imagery: 2011 This fact can particularly affect typically dynamic land covers such as Shrubs and Grasses.
  4. Figure 6 below shows an example of a LUCAS plot filtered out according to criteria a): The 50m radius circle drawn around the plot contains two Arcfuel classes: Mixed Forest Evergreen Scrub and Coniferous evergreen Scrub. It is important to recall here that the discrimination between Coniferous and Broadleaves comes from the Forest Types map of the JRC. Likewise the Mixed forest pixels were detected in the process of resampling the original 25m Forest Types map (JRC) to a 50m resolution dataset in order to match the Arcfuel classification resolution (50). This means the value added by Arcfuel’s classification is the discrimination between Evergreen and Deciduous. Figure 7 below show an example of a plot eliminated according to criteria b): a LUCAS plot in a Shrubland area (without tree cover) falls in a Coniferous forest according to JRC’s Forest Type map (scale effect) and misleading Arcfuel classification. This plot was filtered out from the analysis.
  5. Of the 1442 LUCAS plots falling with the study area (Málaga and Córdoba provinces), 1198 were identified as “non-pure” plots and thus were eliminated by using a the 50m radius criterion. Another 73 plots were eliminated on a one-by-one basis. Note that a higher radius could have been applied and more non-valid plots would have been detected at a time, but it is estimated that this, more conservative, two-steps method prevented us from eliminating an excessive number of plots. By crossing the classification values with the validation sources (LUCAS and SIOSE) in the remaining 171 valid plots we deduced that 136 of them were correctly classified (80%) and 35 were classification errors (20%). Table 7 below shows a summary of the classification performance for the Arcfuel classes present in the study area. In accordance with what was observed before about the distribution of the classes in the area, most of the LUCAS plots fall within Arcfuel Shrubs pixels.   The overall 80% of correctly classified plot is a satisfactory result. The analysis per fuel type class shows particularly good results for the Shrubs (90%) and Coniferous Evergreen Dense class (96%). The plots in the Broadleaves Evergreen Dense class were all correctly classified, but their number is not significant to extract any conclusion. Something similar happens with the plots in Grasses: 12 plots of which 8 (67%) were correctly classified. Likewise, the plots falling in deciduous classes (incorrectly classified) were not enough in number to draw any conclusion.